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Distributions

Result

Distributions result

Sample

Distributions sample

Python script

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#!/usr/bin/env python3
# /// script
# requires-python = ">=3.10"
# dependencies = ["bornagain>=25,<26"]
# ///
"""
Reflectivity of a multilayer with different wavelength distributions.
"""
import bornagain as ba
ba.require_versions("bornagain>=25,<26")
from bornagain import deg, nm


lambda0 = 0.154

def get_sample():
    """
    Twenty alternating Ti and Ni layers on a silicon substrate.
    """
    ambient_mat = ba.Vacuum()
    ti_mat = ba.SLDMaterial("Ti", (0.05, 0.62, 0.55), -1.9493e-6, 0)
    ni_mat = ba.SLDMaterial("Ni", (0.93, 0.48, 0.14), 9.4245e-6, 0)
    substrate_mat = ba.SLDMaterial(
        "SiSubstrate", (0.28, 0.57, 0.82), 2.0704e-6, 0)

    stack = ba.LayerStack(10)
    stack.addLayer(ba.Layer(ti_mat, 3*nm))
    stack.addLayer(ba.Layer(ni_mat, 7*nm))

    sample = ba.Sample()
    sample.addLayer(ba.Layer(ambient_mat))
    sample.addStack(stack)
    sample.addLayer(ba.Layer(substrate_mat))
    return sample


def simulate(sample, distr, title):
    n = 300
    scan = ba.AlphaScan(n, 0.5*deg, 1*deg)
    scan.setWavelength(lambda0)
    if distr:
        scan.setWavelengthDistribution(distr)

    result = ba.SpecularSimulation(scan, sample).simulate()
    result.setTitle(title)
    return result


if __name__ == '__main__':
    sample = get_sample()
    ba.showSample3D(sample, sample_size=120*nm, seed=0)
    results = [
        simulate(sample, ba.DistributionLorentz(
            lambda0, 0.01177 * lambda0), "Lorentz"),
        simulate(sample, ba.DistributionGaussian(
            lambda0, 0.01 * lambda0), "Gauss"),
        simulate(sample, ba.DistributionLogNormal(
            lambda0, 0.011), "LogNormal"),
    ]
    ba.plot_multicurve(results)
    ba.plt.show()
auto/Examples/specular/instrument/Distributions.py